Senior Data Engineer

McKesson Corporation

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$156,998–$184,400 / yr
Posted
3 days ago
Closes
Jul 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $171k
$127k most similar roles pay here $224k

This role pays more than 53% of similar roles. Most pay $137,450–$205,000 — the shaded band above. At the midpoint, this role pays about $171k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About McKesson Corporation

McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.

McKesson Corporation currently has 7 open roles on FindRole.

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At a glance

TL;DR · Senior Data Engineer

As a Senior Data Engineer at McKesson Corporation, you will join the data engineering team to design and implement scalable data pipelines using Databricks and Azure Data Factory, supporting various data-driven initiatives. Your day-to-day responsibilities include collaborating with cross-functional teams to understand data requirements, developing data architectures, and ensuring seamless integration between systems like Snowflake, Salesforce, and SAP BW. You will also work on data modernization efforts by leveraging cloud solutions such as Azure Blob Storage and Logic Apps for notifications, while maintaining best practices for data quality and performance. The role requires expertise in SQL, Java, Python, Scala, MySQL, ETL/ELT development, CI/CD with GitHub Actions, Talend, Databricks, PySpark, AWS S3, and Azure services including Key Vault and resource groups. This position offers the opportunity to work on large-scale data processing and analytics projects within a leading healthcare company.

What you'll do

  • Design and implement scalable data pipelines using Databricks and Azure Data Factory.
  • Develop and optimize data integration projects between systems like Snowflake, Salesforce, and SAP BW.
  • Ensure data quality and reliability by implementing best practices in data engineering.
  • Contribute to the development of data architectures for various data-driven initiatives.
  • Use GitHub CI/CD with Actions for automating build, testing, and releases processes.
  • Participate in evaluating new strategies for streamlined portal operations.

What we're looking for

  • 8+ years of data engineering experience with a bachelor’s degree in Computer Science or related field.
  • Proficient in SQL, Java, Python, Scala for building and enhancing application pipelines.
  • Expertise in ETL/ELT development, data modeling, and CI/CD using GitHub Actions.
  • Extensive experience with Databricks, Azure Data Factory, PySpark, AWS S3, and Azure Blob Storage.
  • Strong knowledge of Talend for comprehensive ETL processes and data integration from various sources.
  • Demonstrated skills in working with Snowflake schema, dimensional modeling, and normalization/denormalization.

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